Prediction models of pulp components based on the quality indices in bleaching process

Zhichao Ma (), Shaoxu Chen (), Yongjun Yin (), Xiaodan Lu (), Yanying Zhou () and Tingting Lin ()
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Zhichao Ma: Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control
Shaoxu Chen: Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control
Yongjun Yin: Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control
Xiaodan Lu: Guangxi University
Yanying Zhou: Guangxi University
Tingting Lin: Guangxi University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 3, No 52, 4043-4060

Abstract: Abstract The traditional measurement of quality indices cannot meet the requirements of new products, precise and intelligent control. Prediction models of pulp components are established based on analyzing the correlation between cellulose, hemicellulose, lignin content and whiteness, Kappa number, intrinsic viscosity, respectively, in the chlorine dioxide bleaching process. The results show that the models can simulate the varieties of components in bleaching process and judge the quality of bleached pulp more directly than traditional quality indices. The models have a practical significance for paper products requiring the concerned component and match to the tendency of precise and intelligent control of the bleaching process.

Keywords: Bleaching; Pulp components; Prediction model; Quality indices; Regression analysis (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-00755-5

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